Europe PMC

This website requires cookies, and the limited processing of your personal data in order to function. By using the site you are agreeing to this as outlined in our privacy notice and cookie policy.

Abstract 


Background

Many patients receive empirical antibiotics for the prevention of postoperative infectious complications following cholecystectomy due to acute cholecystitis (AC). The purpose of this study was to investigate the clinical significance of preoperative antibiotics in mild to moderate AC patients undergoing emergency laparoscopic cholecystectomy.

Methods

This was a double-blind, placebo-controlled, randomized study. Patients with AC eligible for emergency laparoscopic cholecystectomy were randomly assigned to an antibiotic or a placebo group. Clinical outcomes including infectious complications were reviewed.

Results

An imputed per-protocol analysis of 234 patients showed that the postoperative infection rate was 8.6% (10 of 116 patients) in the antibiotic group and 7.6% (9 of 118 patients) in the placebo group (absolute difference, 1%; 95% CI: -8.1% to 6.1%; P = .815). Based on a noninferiority margin of 10%, the lack of preoperative antibiotic treatment was not associated with worse clinical outcomes than antibiotic treatment. Surgical site infection was the most common complication among the infectious complications, and there was no significant difference between the two groups (7.8% in the antibiotic group vs 7.6%, in the placebo group, P = .53).

Conclusions

The absence of prophylactic antibiotics has no significant impact on the incidence of infectious complications in mild to moderated AC.

Citations & impact 


Impact metrics

Jump to Citations

Citations of article over time

Alternative metrics

Altmetric item for https://www.altmetric.com/details/147882094
Altmetric
Discover the attention surrounding your research
https://www.altmetric.com/details/147882094

Article citations


Go to all (6) article citations

Similar Articles 


To arrive at the top five similar articles we use a word-weighted algorithm to compare words from the Title and Abstract of each citation.